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exploration

Develop independently reasoned mathematical-modeling candidates and fixed comparison material for an approved case.

Skill by SoFarSoGoodya

IndexedMIT★ 2
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/sofarsogoodya-exploration

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Develop independently reasoned mathematical-modeling candidates and fixed comparison material for an approved case.

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/exploration

What's inside

Skill name
exploration
Description
Develop independently reasoned mathematical-modeling candidates and fixed comparison material for an approved case.
License
MIT
Instructions
11 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Exploration

Produce a Candidate as a readable mathematical route: subproblem, origin, variables/objective/constraints, derivation, pseudocode, sources, assumptions, limitations, and a structural difference from known routes. An algorithm name, prompt persona, or parameter setting is not a distinct Candidate.

First-round authors receive only the problem contract, selected data/material, and reliable shared sources. Do not inject another first-round draft or recommendation. A human suggestion remains one candidate or a challenge target unless the human explicitly fixed a base route and its conditions independently hold.

Use a Variant only for implementation/configuration changes within a Candidate. A changed mathematical structure, stage composition, objective, or error propagation is a new Candidate; a fusion records parents but begins unreviewed.

Before formal scoring, fix data/split, metric formulas and units, constraints, meaningful baseline, fair budget, failure denominator, and stopping condition in a ComparisonContract. Preserve evidence, uncertainty, and tradeoffs in comparison packs. Do not manufacture aggregate scores, benchmarks, totals, or experimental conclusions.

From SoFarSoGoodya/mathmodel-weave, MIT.

Signals

Stars
2
Forks
0
Open issues
0
Last commit (this folder)
Sep 13, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from SoFarSoGoodya

Cite this page

exploration skill. Agent Mart. https://agentmart.dev/skills/sofarsogoodya-exploration (last updated 2026-10-24)